High-Order fuzzy approximation by fuzzywavelet type and neural network operators

Authors:
G. A. Anastassiou
Affiliations:
-
Venue:
Computers & Mathematics with Applications
Year:
2004

Citing 6
Cited 1

Elementary fuzzy calculus

Fuzzy Sets and Systems
Fuzzy differential equations

Fuzzy Sets and Systems - Fuzzy Numbers
Original Contribution: Approximation of a function and its derivative with a neural network

Neural Networks
On henstock integral of fuzzy-number-valued functions (I)

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Univariate fuzzy-random neural network approximation operators

Computers & Mathematics with Applications
Fuzzy approximation by fuzzy convolution type operators

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Statistical fuzzy approximation by fuzzy positive linear operators

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Abstract

High order differential functions of several variables are approximated by multivariate shift-invariant convolution type operators and their generalizations. The high order of this approximation is determined by giving some multivariate Jackson-type ...